kaggle-talkingdata-visualization | Source code for blog post
kandi X-RAY | kaggle-talkingdata-visualization Summary
kandi X-RAY | kaggle-talkingdata-visualization Summary
Source Code for my blog post: Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python. You need Python 2.7.x and 3 Python libraries: Pandas, Flask, Shapely. The easiest way to install Pandas is to install it as part of the Anaconda distribution. You can install Flask and Shapely using pip. #How to run the code. #Visit my Blog :
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QUESTION
I have a pandas dataframe that contains Longitude,Latitude, City, State,Timestamp. I have created one additional column as geometry that is a combination of [Latitude,Longitude].
I wanted to generate a geojson file that contains geomatory information on basis of city something like that https://github.com/adilmoujahid/kaggle-talkingdata-visualization/blob/master/input/geojson/china_provinces_en.json
...ANSWER
Answered 2020-Feb-25 at 18:19You can iterate through all rows of the dataframe and build up a dict with the geojson structure. Afterwards, you can dump the dict to a geojson file.
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